GaussianMixtureSummary¶
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class
pyspark.ml.clustering.GaussianMixtureSummary(java_obj: Optional[JavaObject] = None)¶ Gaussian mixture clustering results for a given model.
Attributes
DataFrame of predicted cluster centers for each training data point.
Size of (number of data points in) each cluster.
Name for column of features in predictions.
The number of clusters the model was trained with.
Total log-likelihood for this model on the given data.
Number of iterations.
Name for column of predicted clusters in predictions.
DataFrame produced by the model’s transform method.
DataFrame of probabilities of each cluster for each training data point.
Name for column of predicted probability of each cluster in predictions.
Attributes Documentation
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cluster¶ DataFrame of predicted cluster centers for each training data point.
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clusterSizes¶ Size of (number of data points in) each cluster.
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featuresCol¶ Name for column of features in predictions.
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k¶ The number of clusters the model was trained with.
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logLikelihood¶ Total log-likelihood for this model on the given data.
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numIter¶ Number of iterations.
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predictionCol¶ Name for column of predicted clusters in predictions.
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predictions¶ DataFrame produced by the model’s transform method.
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probability¶ DataFrame of probabilities of each cluster for each training data point.
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probabilityCol¶ Name for column of predicted probability of each cluster in predictions.
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